zer0ken commented 1 year ago

Prerequisites

Please answer the following questions for yourself before submitting an issue.

[v] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
[v] I am reporting the issue to the correct repository. (Model Garden official or research directory)
[v] I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/seq_flow_lite

https://github.com/tensorflow/models/blob/master/research/seq_flow_lite/demo/colab/emotion_colab.ipynb

2. Describe the bug

While I triying to run the demo code of PRADO model, I figured out that the code of emotion_colab.ipynb has some problems. Setup codes shows some of dependencies errors, and even !pip install models/research/seq_flow_lite didn't work.

3. Steps to reproduce

go to the colab project.
run the cells in order.
installing `seq_flow_lite

4. Expected behavior

It should build the seq_flow_lite with bazel properly so that I can go to the next cell.

5. Additional context

5.1. With tensorflow 2.11.0

Dependency warning

!pip install tensorflow==2.11.0

...
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-datasets 4.9.2 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.
tensorflow-metadata 1.13.1 requires protobuf<5,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.
Successfully installed google-auth-oauthlib-0.4.6 keras-2.11.0 protobuf-3.19.6 tensorboard-2.11.2 tensorboard-data-server-0.6.1 tensorflow-2.11.0 tensorflow-estimator-2.11.0
WARNING: The following packages were previously imported in this runtime:
  [google]
You must restart the runtime in order to use newly installed versions.

and also

!pip install tensorflow_datasets

...
Installing collected packages: protobuf
  Attempting uninstall: protobuf
    Found existing installation: protobuf 3.19.6
    Uninstalling protobuf-3.19.6:
      Successfully uninstalled protobuf-3.19.6
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorboard 2.11.2 requires protobuf<4,>=3.9.2, but you have protobuf 4.23.1 which is incompatible.
tensorflow 2.11.0 requires protobuf<3.20,>=3.9.2, but you have protobuf 4.23.1 which is incompatible.
Successfully installed protobuf-4.23.1

Build error.

!git clone https://www.github.com/tensorflow/models
!models/research/seq_flow_lite/demo/colab/setup_workspace.sh
!pip install models/research/seq_flow_lite
!rm -rf models/research/seq_flow_lite/tf_ops
!rm -rf models/research/seq_flow_lite/tflite_ops

Cloning into 'models'...
warning: redirecting to https://github.com/tensorflow/models.git/
remote: Enumerating objects: 85653, done.
remote: Counting objects: 100% (1252/1252), done.
remote: Compressing objects: 100% (510/510), done.
remote: Total 85653 (delta 787), reused 1171 (delta 736), pack-reused 84401
Receiving objects: 100% (85653/85653), 598.69 MiB | 24.52 MiB/s, done.
Resolving deltas: 100% (61289/61289), done.
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Processing ./models/research/seq_flow_lite
  Preparing metadata (setup.py) ... done
Building wheels for collected packages: seq-flow-lite
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> See above for output.

  note: This error originates from a subprocess, and is likely not a problem with pip.
  Building wheel for seq-flow-lite (setup.py) ... error
  ERROR: Failed building wheel for seq-flow-lite
  Running setup.py clean for seq-flow-lite
Failed to build seq-flow-lite
ERROR: Could not build wheels for seq-flow-lite, which is required to install pyproject.toml-based projects

5.2. With tensorflow 2.12.0

Build error.

!git clone https://www.github.com/tensorflow/models
!models/research/seq_flow_lite/demo/colab/setup_workspace.sh
!pip install models/research/seq_flow_lite
!rm -rf models/research/seq_flow_lite/tf_ops
!rm -rf models/research/seq_flow_lite/tflite_ops

Cloning into 'models'...
warning: redirecting to https://github.com/tensorflow/models.git/
remote: Enumerating objects: 85653, done.
remote: Counting objects: 100% (1252/1252), done.
remote: Compressing objects: 100% (508/508), done.
remote: Total 85653 (delta 789), reused 1168 (delta 738), pack-reused 84401
Receiving objects: 100% (85653/85653), 598.67 MiB | 16.11 MiB/s, done.
Resolving deltas: 100% (61282/61282), done.
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Processing ./models/research/seq_flow_lite
  Preparing metadata (setup.py) ... done
Building wheels for collected packages: seq-flow-lite
  error: subprocess-exited-with-error

  × python setup.py bdist_wheel did not run successfully.
  │ exit code: 1
  ╰─> See above for output.

  note: This error originates from a subprocess, and is likely not a problem with pip.
  Building wheel for seq-flow-lite (setup.py) ... error
  ERROR: Failed building wheel for seq-flow-lite
  Running setup.py clean for seq-flow-lite
Failed to build seq-flow-lite
ERROR: Could not build wheels for seq-flow-lite, which is required to install pyproject.toml-based projects

6. System information

23.05.26 colab

Python 3.10.11
Tensorflow 2.11.0 (as the demo says)
Tensorflow 2.12.0 (also tried this but not worked)
Ubuntu 20.04.5 LTS
Bazel 5.4.0
else is the default setting from colab

howardgriffin commented 1 year ago

Same promblem, Any ideas?

harshutxo commented 1 month ago

yess exact problem what's the solution ........

tensorflow / models

`!pip install models/research/seq_flow_lite` fails. #11003